Cikkek nyilvánosan hozzáférhető megbízással - Xueguan Song (宋学官)További információ
Sehol sem hozzáférhető: 83
Recurrent neural networks for real-time prediction of TBM operating parameters
X Gao, M Shi, X Song, C Zhang, H Zhang
Automation in Construction 98, 225-235, 2019
Megbízások: National Natural Science Foundation of China
Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data
W Sun, M Shi, C Zhang, J Zhao, X Song
Automation in Construction 92, 23-34, 2018
Megbízások: National Natural Science Foundation of China
Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine
M Shi, W Hu, M Li, J Zhang, X Song, W Sun
Mechanical Systems and Signal Processing 188, 110022, 2023
Megbízások: National Natural Science Foundation of China
A multi-fidelity surrogate model based on support vector regression
M Shi, L Lv, W Sun, X Song
Structural and Multidisciplinary Optimization 61 (6), 2363-2375, 2020
Megbízások: National Natural Science Foundation of China
Sensitivity analysis and reliability based design optimization for high-strength steel tailor welded thin-walled structures under crashworthiness
X Song, G Sun, Q Li
Thin-Walled Structures 109, 132-142, 2016
Megbízások: Australian Research Council, National Natural Science Foundation of China
Multi-variable optimisation of PEMFC cathodes based on surrogate modelling
L Xing, X Song, K Scott, V Pickert, W Cao
International journal of hydrogen energy 38 (33), 14295-14313, 2013
Megbízások: UK Engineering and Physical Sciences Research Council
Liquid metal magnetohydrodynamic pump for junction temperature control of power modules
Y Yerasimou, V Pickert, B Ji, X Song
IEEE transactions on power electronics 33 (12), 10583-10593, 2018
Megbízások: UK Engineering and Physical Sciences Research Council
A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis
X Song, M Shi, J Wu, W Sun
Mechanical Systems and Signal Processing 133, 106279, 2019
Megbízások: National Natural Science Foundation of China
Energy-minimum optimization of the intelligent excavating process for large cable shovel through trajectory planning
X Wang, W Sun, E Li, X Song
Structural and Multidisciplinary Optimization 58, 2219-2237, 2018
Megbízások: National Natural Science Foundation of China
Generative adversarial network for geological prediction based on TBM operational data
C Zhang, M Liang, X Song, L Liu, H Wang, W Li, M Shi
Mechanical Systems and Signal Processing 162, 108035, 2022
Megbízások: National Natural Science Foundation of China
Sliding cable modeling: A nonlinear complementarity function based framework
Z Kan, F Li, H Peng, B Chen, XG Song
Mechanical Systems and Signal Processing 146, 107021, 2021
Megbízások: National Natural Science Foundation of China
A multi-fidelity surrogate model based on moving least squares: fusing different fidelity data for engineering design
S Wang, Y Liu, Q Zhou, Y Yuan, L Lv, X Song
Structural and Multidisciplinary Optimization 64 (6), 3637-3652, 2021
Megbízások: National Natural Science Foundation of China
Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization
Y Pang, Y Wang, X Lai, S Zhang, P Liang, X Song
Computer Methods in Applied Mechanics and Engineering 414, 116194, 2023
Megbízások: National Natural Science Foundation of China
A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine
M Shi, L Zhang, W Sun, X Song
Knowledge-Based Systems 182, 104859, 2019
Megbízások: National Natural Science Foundation of China
PR-FCM: a polynomial regression-based fuzzy C-means algorithm for attribute-associated data
Y Pang, M Shi, L Zhang, X Song, W Sun
Information Sciences 585, 209-231, 2022
Megbízások: National Natural Science Foundation of China
Novel approach for selecting low-fidelity scale factor in multifidelity metamodeling
L Shu, P Jiang, X Song, Q Zhou
AIAA Journal 57 (12), 5320-5330, 2019
Megbízások: National Natural Science Foundation of China
Optimization of a frame structure using the Coulomb force search strategy-based dragonfly algorithm
Y Yuan, L Lv, X Wang, X Song
Engineering Optimization 52 (6), 915-931, 2020
Megbízások: National Natural Science Foundation of China
Numerical and experimental analysis of fluid force for nuclear valve
Q Li, C Zong, F Liu, T Xue, X Yu, X Song
International Journal of Mechanical Sciences 241, 107939, 2023
Megbízások: National Natural Science Foundation of China
An adaptive resistance and stamina strategy-based dragonfly algorithm for solving engineering optimization problems
Y Yuan, S Wang, L Lv, X Song
Engineering Computations 38 (5), 2228-2251, 2021
Megbízások: National Natural Science Foundation of China
GAN-MDF: An enabling method for multifidelity data fusion
L Liu, X Song, C Zhang, D Tao
IEEE Internet of Things Journal 9 (15), 13405-13415, 2022
Megbízások: National Natural Science Foundation of China
A publikációs és a finanszírozási adatokat számítógépes program határozza meg, automatikusan.